Karolina Kudelina
Papers
9
Total Citations
65
H-Index
6
About
Karolina Kudelina is an electrical engineering and mechatronics researcher whose work spans motor control, fault diagnostics, and robotics — fields at the heart of modern industrial automation. Based at Tallinn University of Technology (TalTech), she has established herself as a rigorous investigator of electromechanical systems, with a particular focus on identifying and diagnosing mechanical faults before they cause costly equipment failures. Her most impactful contributions include a comprehensive comparative analysis of servomotor control principles (2024, 15 citations) and a series of influential studies on bearing fault detection in brushless DC motors (2021, 13 and 8 citations respectively), demonstrating how vibration signatures can reliably expose hidden damage in motors used across consumer and industrial applications. Kudelina has also made significant strides in Cartesian robot diagnostics, authoring multiple papers examining tooth belt transmission faults and their real-world consequences for robotic performance and reliability. Beyond her technical research, she has contributed to international education initiatives, helping bridge academic cooperation between TalTech and ITMO University in St. Petersburg through a joint mechatronics and robotics curriculum. With over 60 cumulative citations across her body of work, Kudelina represents a growing voice in predictive maintenance and intelligent fault diagnosis for next-generation automated systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Impact of Bearing Faults on Vibration Level of BLDC Motor13 citations · 2021
- 3
- 4
- 5Fault Diagnosis of the Tooth Belt Transmission of Cartesian Robot6 citations · 2022
- 6
- 7
- 8Fault Diagnosis System of Cartesian Robot for Various Belt Tension3 citations · 2022
- 9